Step 1: Find where Overviews already fire
Run your money queries and note which trigger an AI Overview, what it says, and which sources it cites. That citation list is your competitive set. Queries with informational intent trigger most often, which means your guides and comparison pages are the likeliest entry points.
Step 2: Publish the extractable answer
Overviews are assembled from passages that resolve the query cleanly. Give each target question its own section: a question-shaped heading, a direct answer in the first sentence or two, then depth. Pages that make Google work to find the answer lose to pages that hand it over.
Step 3: Strengthen the machine-readable layer
FAQ, Article, and Organization schema, clean heading hierarchy, and consistent entity details across your site and profiles all raise extraction confidence. None of it rescues weak content, but it decides ties between comparable answers, and most Overview slots are ties.
Step 4: Build the corroboration Overviews trust
Cited sources skew toward pages with topical authority and external consensus: reviews, mentions, links from category-relevant sites. This is where AI Overviews and assistant visibility converge, because the same consensus that earns a Gemini recommendation earns an Overview citation.
Step 5: Re-check weekly and iterate
Overviews regenerate as Google recrawls and models update. Sample your target queries weekly, log citation changes, and study any page that displaces you. Aethon automates this loop and folds it into the same program that tracks ChatGPT, Gemini, Claude, and Perplexity.